A three-dimensional inverse finite-element method applied to experimental eddy-current imaging data

Reference:

Soleimani, M., Lionheart, W. R. B., Peyton, A. J., Ma, X. D. and Higson, S. R., 2006. A three-dimensional inverse finite-element method applied to experimental eddy-current imaging data. IEEE Transactions on Magnetics, 42 (5), pp. 1560-1567.

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Abstract

Eddy-current techniques can be used to create electrical conductivity mapping of an object. The eddy-current imaging system in this paper is a magnetic induction tomography (MIT) system. MIT images the electrical conductivity of the target based on impedance measurements from pairs of excitation and detection coils. The inverse problem here is ill-posed and nonlinear. Current state-of-the-art image reconstruction methods in MIT are generally based on linear algorithms. In this paper, a regularized Gauss-Newton scheme has been implemented based on an edge finite-element forward solver and an efficient formula for the Jacobian matrix. Applications of Tikhonov and total variation regularization have been studied. Results are presented from experimental data collected from a newly developed MIT system. The paper also presents further progress in using an MIT system for molten metal flow visualization in continuous casting by applying the proposed algorithm in a real experiment in a continuous casting pilot plant of Corns RD&T, Teesside Technology Centre.

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